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# Data Engineering Manager

- **Company:** Peloton Interactive, Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $173,500.0 - $213,100.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, BigQuery, Information Systems, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Machine Learning, Standard Sql, DataOps, Software Engineering, Information Technology, Integration Frameworks, Data Management, Looker Analytics, Data Pipelines
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/59d02c16-0ca0-4fa2-9a8d-12cd538aa6d0

## About the Role

* 5+ years of experience in data engineering, analytics engineering, software engineering, or related technical roles
 * 2+ years of experience leading technical teams, managing engineering projects, or coordinating offshore/vendor resources
 * Strong understanding of modern data engineering architectures, ETL/ELT patterns, and data platform operations
 * Hands-on working experience with data orchestration and integration platforms such as Airflow, Airbyte, DBT, or similar technologies
 * Proven ability to translate business requirements into technical solutions and coordinate delivery across multiple stakeholders
 * Experience designing and supporting monitoring, alerting, incident response, and operational support processes
 * Excellent communication, prioritization, and organizational skills with the ability to manage competing priorities
 * Strong SQL and data analysis skills, ideally with BigQuery
 * Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Advanced degree preferred

BONUS

 * Experience administering or supporting compliance auditing for Looker, BigQuery, or other modern cloud analytics platforms
 * Experience managing distributed or offshore engineering teams
 * Experience building and scaling DataOps or platform operations functions
 * Experience implementing data quality, observability, lineage, or governance solutions
 * Experience supporting AI, machine learning, or self-service analytics initiatives
 * Experience working in Agile/Scrum environments and managing cross-functional technical programs

#LI-DD1
#LI-Hybrid

The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton's competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.

## Description

Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across our data platforms while managing the successful delivery of data initiatives through a combination of internal and offshore engineering resources.

You will work closely with business stakeholders, engineering teams, analytics partners, and platform owners to ensure our data ecosystem remains reliable, scalable, and well-governed. This role combines technical leadership, operational management, and stakeholder engagement, to help support Peloton's growing data and AI needs.

This role will be hybrid, not remote.
YOUR DAILY IMPACT AT PELOTON

 * Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process improvements
 * Manage and mentor offshore engineering resources, providing technical guidance, performance feedback, and delivery oversight
 * Partner with stakeholders across multiple business functions to gather requirements, prioritize work, and ensure successful delivery of data solutions
 * Own intake, prioritization, and execution processes for DataOps requests and operational support activities
 * Drive adoption of data engineering standards, ETL best practices, documentation requirements, and operational procedures
 * Serve as an operational owner for key data platforms, including Airflow, Airbyte, and Looker, owning platform governance activities such as user access reviews, compliance reviews, audit support, and operational controls
 * Coordinate incident management, root cause analysis, monitoring, alerting, and operational readiness efforts across the data platform
 * Help shape the long-term operating model for the Data Engineering team as Peloton continues to scale its data and AI initiatives, Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating
to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email:

At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.

Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.

If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email before taking any further action in relation to the correspondence.

Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.


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